Applying Cognitive Memory to CyberSecurity
Investigative data mining involves organizing, sorting, clustering and segmenting of data to detect and predict criminal behavior. Many of these tasks can be aided by the use of neural networks- Cognimem’s CM1 K cognitive memory being a practical and commercially available example. One can construct a vector of various attributes and compare this against known errant behavior. Profiles can be constructed by criminologists, compared and flagged within predefined limits. Cognitive memory can accelerate this process.